For contemporary companies, how business processes are managed, in a complex and dynamic business environment, is an important issue. Such processes, key company assets, consist of tasks performed to deliver values to customers or to accomplish a strategic goal. Process modeling, requiring considera...
For contemporary companies, how business processes are managed, in a complex and dynamic business environment, is an important issue. Such processes, key company assets, consist of tasks performed to deliver values to customers or to accomplish a strategic goal. Process modeling, requiring consideration and application of several rules, resources and criteria, generally is regarded as a complex and difficult task. Moreover, sequential and parallel structures along with their control semantics have made process modeling more complicated still.
Through these issues, this research provides a mathematical approach to the support of convenient process modeling for beginners of process modeling. We first identified various business process structural properties, and then formally define them as business process structural constraints, on which basis. Next, we utilized the Social Network Analysis (SNA) method to identify relevant links between activities, analyze the frequency of handover occurrences between pairs of two participants in a process. We here present, therefrom, a new, mathematical approach to business process modeling that proceeds by identifying the social relations among participants, and calculating social-score between pairs of two activities using the relations. We used both the structural constraints and the SNA result to mathematically formulate the construction of a target process model. The objective function of the proposed mathematical model is to maximize the social-score. Through the model, we could obtain the result link set representing the process structure with the maximum social-score.
Additionally we compare the structural similarity of result models generated from our method and discovered using process mining, by analyzing the process dependency graphs
In the dissertation, we define process structural constraints and perform SNA in formulating a new, mathematical approach to convenient support of complex business process modeling. By means of this comprehensive process modeling methodology proposed, significantly, simple process models that can be used with little modification or trimming in the runtime phase can be derived.
For contemporary companies, how business processes are managed, in a complex and dynamic business environment, is an important issue. Such processes, key company assets, consist of tasks performed to deliver values to customers or to accomplish a strategic goal. Process modeling, requiring consideration and application of several rules, resources and criteria, generally is regarded as a complex and difficult task. Moreover, sequential and parallel structures along with their control semantics have made process modeling more complicated still.
Through these issues, this research provides a mathematical approach to the support of convenient process modeling for beginners of process modeling. We first identified various business process structural properties, and then formally define them as business process structural constraints, on which basis. Next, we utilized the Social Network Analysis (SNA) method to identify relevant links between activities, analyze the frequency of handover occurrences between pairs of two participants in a process. We here present, therefrom, a new, mathematical approach to business process modeling that proceeds by identifying the social relations among participants, and calculating social-score between pairs of two activities using the relations. We used both the structural constraints and the SNA result to mathematically formulate the construction of a target process model. The objective function of the proposed mathematical model is to maximize the social-score. Through the model, we could obtain the result link set representing the process structure with the maximum social-score.
Additionally we compare the structural similarity of result models generated from our method and discovered using process mining, by analyzing the process dependency graphs
In the dissertation, we define process structural constraints and perform SNA in formulating a new, mathematical approach to convenient support of complex business process modeling. By means of this comprehensive process modeling methodology proposed, significantly, simple process models that can be used with little modification or trimming in the runtime phase can be derived.
주제어
#process modeling process structural constraints social relations
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